Automated Flood Depth Estimates from Online Traffic Sign Images: Explorations of a Convolutional Neural Network-Based Method

Flood depth monitoring is crucial for flood warning systems and damage control, especially in the event of an urban flood. Existing gauge station data and remote sensing data still has limited spatial and temporal resolution and coverage. Therefore, to expand flood depth data source taking use of on...

Descripción completa

Detalles Bibliográficos
Autores principales: Song, Zhiqing, Tuo, Ye
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Technical Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8402382/
https://www.ncbi.nlm.nih.gov/pubmed/34451056
http://dx.doi.org/10.3390/s21165614

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8402382/
https://www.ncbi.nlm.nih.gov/pubmed/34451056
http://dx.doi.org/10.3390/s21165614

Ejemplares similares